In today’s digital-first marketing landscape, SEO work has become one of the most remote-friendly career options available. From strategy and content creation to automation and analytics, SEO roles can be performed efficiently from anywhere with a reliable internet connection. Below are the top SEO jobs ideally suited for remote professionals—and what each one entails.

1. Content Writing and Optimization

Content remains the core of every SEO strategy. Remote SEO content writers craft blog posts, landing pages, and articles optimized for search engines while maintaining natural readability.
Key responsibilities include:

• Writing engaging content

• Collaborating with editors and designers via platforms like Notion or Trello

• Tracking performance using Google Search Console (GSC) and Google Analytics 4 (GA4)

2. SEO Analytics and Reporting

SEO analysts are essential for turning data into strategy. They interpret ranking performance, keyword growth, and traffic patterns.
This role often involves:

• Building GA4 dashboards for audience and acquisition reports

• Monitoring GSC for crawl errors, CTRs, and query data

• Using Excel, Data Studio, or Looker Studio for report automation

• Identifying technical SEO issues and measuring ROI on content campaigns

3. AI and Automation Specialist

AI tools now streamline many SEO processes, helping teams scale faster. Remote professionals skilled in AI prompt design and automation play a big role in modern SEO.
Common responsibilities include:

• Automating content briefs using ChatGPT, Claude, or Gemini APIs

• Creating keyword clustering workflows

• Automating technical audit reporting through Python or Zapier integrations

• Managing bulk content generation projects for ecommerce or blogs

4. SEO Audits and Error Checking

Technical SEO specialists perform website audits to uncover issues that block rankings. This work is analytical and tool-driven, making it an excellent remote job.
Typical tasks:

• Using Screaming Frog, Sitebulb, or Ahrefs for crawl audits

• Checking Core Web Vitals, mobile usability, and indexation issues

• Providing actionable recommendations in structured reports

• Collaborating with developers remotely to resolve technical errors

5. Backlink Building and Digital PR

Backlinks are a significant ranking factor, and several sub-specialties of link building can be managed entirely online.

a. Outreach Campaigns

Building relationships for backlinks involves emailing relevant webmasters and journalists to pitch content or resources.

• Requires persuasive email writing and CRM tracking

• Common tools: Pitchbox, BuzzStream, Hunter

b. Guest Posting

Guest post specialists pitch and write articles on niche websites to establish backlinks.

• Researching publication targets and editor preferences

• Coordinating with content teams for approval and publishing

c. Broken or Dead Link Finding

Finding and replacing broken links on other sites is a scalable tactic.

• Use Ahrefs or Check My Links to identify opportunities

• Offer live resources as replacements

• Track progress through outreach sheets or link-tracking software

6. Local SEO and Citation Management

Local SEO experts help small businesses improve visibility in specific regions.
Duties include:

• Optimizing Google Business Profile listings

• Cleaning and standardizing NAP data across directories

• Managing local link citations and review campaigns

• Tracking local pack rankings and map visibility

Final Thoughts

Remote SEO careers continue expanding with the rise of automation, content AI, and advanced analytics tools. Whether you’re a data-driven strategist, creative writer, or technical problem solver, SEO offers flexible, high-demand roles that fit any location-independent lifestyle.

Would you like me to adapt this post for LinkedIn format (shorter and more conversational) or keep it blog-style for your website?

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Are Social Signals a Direct Google Ranking Factor 2025

Nope – they never have been

Are Social Signals a Google Ranking Factor Official Statement

Official Statements are recorded here:

Google: Again, Social Signals Do Not Influence Your Ranking – 2015

Are Social Signals a Ranking Factor Google Says

No

Are Social Signals a Direct Google Ranking Factor

Nope, not at all

Are Social Signals a Google Ranking Factor John Mueller

The post What does Google say about Social Signals in SEO up to 2025 appeared first on Primary Position SEO NYC.

Here is an organized set of paragraphs summarizing each major AI/LLM search tool, followed by a table showing their place of origin and the search engines they outsource to or integrate:

ChatGPT (OpenAI)

ChatGPT was created by OpenAI, based in San Francisco, USA. Originally launched as a conversational LLM, it added native search capabilities as of 2024, aiming to compete directly with traditional engines like Google by integrating web search results and summarizing real-time data. ChatGPT sources data via its own retrieval infrastructure and also incorporates Bing API results for certain searches.openai+5​

Perplexity AI

Perplexity AI was founded in the USA and built to deliver clear, sourced answers by combining an advanced LLM with a proprietary answer engine. Perplexity uses its own search infrastructure and retrieval system but can supplement results with Bing, Google, and open web sources through APIs.perplexity+1​

DeepSeek

DeepSeek is a leading Chinese AI company based in Hangzhou, Zhejiang, and known for cost-effective, high-performing LLMs. Its models are used in China’s Tencent WeChat, Baidu search, and other integrations. DeepSeek is designed for rapid retrieval from Chinese and global web sources, and its APIs are becoming widely adopted internationally.cacm.acm+1​

Gemini (Google)

Gemini, formerly known as Bard, is Google’s generative AI chat platform created in the USA. It natively integrates Google Search and other Google Apps, making it the most deeply tied to the world’s largest search engine. Gemini is often described as Google’s direct response to ChatGPT.techtarget+1​

Claude (Anthropic)

Claude, built by Anthropic in the USA, features advanced conversational AI with real-time web searching via an API that leverages multiple open web sources. Recent updates see integration with Google Workspace and support for enterprise research tasks, making it popular within business environments.tech+1​

Meta Llama 3 & Meta AI

Meta’s Llama 3 is an open-source LLM developed in the USA. It’s widely deployed across community and commercial platforms, with many interfaces providing search capabilities that aggregate results from their own infrastructure or connect with third-party APIs like Bing or You.com.huggingface+1​

Microsoft Copilot (Bing AI)

Copilot (formerly Bing Chat) is a Microsoft product built in the USA and fully integrated with Bing Search. Its responses are grounded in Bing’s search index and contextualized with conversation history for accurate, real-time answers.microsoft+1​

You.com

You.com was launched in the USA, rapidly establishing itself with a search-centric LLM that retrieves results from the open web via its proprietary indexing system. You.com also provides APIs to allow other LLMs to outsource search and news queries to its infrastructure.voicebot+1​

Phind

Phind, founded in the USA, focuses on developer support and technical queries. It outsources search to Bing, Google, and open web indexes to deliver concise, citation-rich answers.

Kagi

Kagi is an independent search engine and LLM vendor based in the USA, prioritizing privacy and transparency. Kagi’s search results come from its own proprietary index alongside open web sources, focusing on ad-free access.

Andi Search

Andi is a newer US-based AI search engine that emphasizes privacy and straightforward, conversational answers. Its search blends proprietary and open web indexes.

Brave Leo

Brave Leo is part of the Brave browser ecosystem (USA), with a privacy-first LLM and search that leverages both Brave Search and open web APIs.

Comparison Table

Other notable tools, like Chatsonic, Jasper Chat, Komo AI, and Qwen, generally rely on a blend of Bing, Google, and their own web APIs. This landscape continues to grow, with most platforms moving toward hybrid models that aggregate multiple sources for better accuracy and transpancy.

The post The World of AI and LLM Search Assistant Tools appeared first on Primary Position SEO NYC.

AI SEO Expert

An AI SEO expert combines deep knowledge of search engine algorithms with hands-on experience in artificial intelligence tools and automation. They don’t simply follow mainstream advice; instead, they leverage data-driven strategies, utilize advanced analytics, and rely on custom-built workflows to stay ahead in a fast-evolving SEO world. By integrating AI into keyword research, content optimization, and competitor analysis, these professionals deliver targeted results and sustained organic growth. They understand the subtle nuances of how AI-powered search algorithms interpret content, ensuring every page aligns with evolving ranking factors.

AI SEO Consultant

An AI SEO consultant helps organizations navigate the complexities of search optimization in the age of artificial intelligence. These consultants audit websites, evaluate tech stacks, and recommend tools that combine AI and traditional SEO to maximize reach and conversion rates. Their expertise lies in creating custom strategies—often blending legacy best practices with today’s most sophisticated automation and natural language processing utilities. Through ongoing collaboration, they help businesses future-proof their search presence by adapting to algorithm updates and exploiting new data-driven opportunities.

Top AI SEO Experts in The US

The United States harbors some of the world’s most innovative AI SEO experts who’ve pioneered impactful strategies for Fortune 500 brands, SaaS startups, and agencies. These top professionals often share insights via industry conferences, LinkedIn conversations, and Reddit threads, spreading actionable knowledge about prompt engineering, semantic optimization, and machine learning for organic marketing. Their signature approaches go well beyond plug-and-play tools, instead focusing on creative experimentation and rigorous validation of results.

Who Are the Top Global AI SEO Experts?

Globally, standout AI SEO experts span all continents and frequently collaborate on international campaigns. These leaders craft multilingual, multi-market SEO frameworks, leveraging AI-driven content and localization to address the unique signals of Google and other search engines in different regions. The top global AI SEO experts excel at cross-border SERP analysis, understanding how search intent and ranking factors shift across languages, cultures, and local algorithms. Their adaptability and forward-thinking tactics set industry benchmarks on a global scale.

AI SEO Specialist

An AI SEO specialist is distinct for their technical acumen and practical intuition. These specialists often come from backgrounds in computer science, data analytics, or digital marketing—and bring a rigorous approach to tasks like predictive keyword modeling and automated site auditing. AI SEO specialists are quick to deploy new machine learning APIs, integrate insights from large language models, and streamline reporting to cut manual work. Their focused skill set helps organizations unlock efficiencies and gain edge over competitors.

Top AI SEO Agency

Partnering with a top AI SEO agency is a game-changer for businesses aiming to scale in competitive markets. These agencies combine the collective expertise of strategists, content creators, and data scientists, delivering holistic solutions that blend human creativity and machine intelligence. Unlike traditional agencies, they’re equipped to dynamically adjust campaigns in real-time, implement personalized ranking strategies, and assure technical SEO hygiene across every property. Their transparent, metrics-driven approach means clients always receive tangible value and measurable uplift.

Top AI SEO Agencies

The world’s top AI SEO agencies are leaders because they constantly research, test, and adapt. They invest in proprietary tools, facilitate employee training in the latest AI advancements, and advocate for outcome-based SEO rather than shortcuts that no longer work. By collaborating as an extension of clients’ internal teams, these agencies solve complex, cross-platform challenges with scalable processes. They’re trusted sources for brands seeking a partner who’s as invested in continued innovation as business results.

AI SEO Service

AI SEO service providers deliver tactical and strategic support tailored to business goals. These services range from full-scale SEO automation—like dynamic site optimization, automated tagging, and AI-powered SERP monitoring—to niche offerings such as sentiment analysis and voice search readiness. With an abundance of available tools, businesses can now choose modular AI SEO services that supplement in-house skills or outsource the entire process for maximum efficiency and agility.

Best AI SEO Agency

The best AI SEO agency balances innovation and reliability, offering robust technical support while relentlessly pursuing growth opportunities. What sets the best apart isn’t just cutting-edge technology, but their ability to translate complex AI-powered SEO signals into plain language and practical steps. Transparent reporting, excellent communication, and proven case studies underpin their reputation in the market. When choosing an agency, businesses should seek providers with a strong client roster, a demonstrable record of ranking success, and a consultative approach.

AI SEO Experts

AI SEO experts form the backbone of any modern digital strategy. They lead resilient teams, guide experimentation with new tools, and champion continuous education in natural language processing, machine learning, and search algorithm updates. With their finger on the pulse of the latest advancements, AI SEO experts consistently push their organizations ahead of the curve—enabling smarter decisions, faster pivots, and better outcomes in search visibility.

Why AI-Driven SEO Is Now Essential

The SEO landscape has fundamentally shifted with the advent of AI-powered search, new user intent signals, and the prevalence of conversational interfaces. Human expertise is still indispensable, but now AI is an essential co-pilot in every successful SEO campaign. It augments a professional’s ability to detect trends, scale tactics, and measure impact in ways that weren’t possible just a few years ago.

AI SEO professionals—whether labeled as experts, consultants, or agencies—help businesses use advanced analytics and technology to stay ahead. Their role isn’t just technical; it’s increasingly strategic, powering SEO efforts that are sustainable, evidence-based, and laser-focused on results. Today’s winners in the search game are those who combine technical innovation with creative problem-solving, backed by a relentless commitment to learning and improvement.

If your team or organization wants to reach the next level of organic performance, investing in the right AI SEO partnerships and resources is essential. Working with a true AI SEO expert, specialist, or agency can help demystify the process, implement repeatable systems, and ensure your site earns both rankings and revenue for the long haul.

The post How to find the right AI SEO expert appeared first on Primary Position SEO NYC.

SERP reports are essential in SEO because they provide a clear, data-driven snapshot of how a website’s pages rank for targeted keywords across search engines. By regularly reviewing SERP reports, SEO professionals can quickly identify movement in rankings, spot new opportunities, and diagnose issues that might be affecting visibility. As discussed by weblinkr and echoed in Reddit communities, these reports help marketers adapt strategies in real-time, aligning content and optimization efforts with actual search demand and competitor activity. Ultimately, SERP reports transform ranking data into actionable insights, making it easier to set priorities, demonstrate ROI, and sustain growth in organic traffic.

SERP Tracking

SERP tracking, or tracking where your site ranks in search engine results pages for specific queries, is the cornerstone of any effective SEO strategy. This process provides actionable insights that drive decision-making, enabling marketers to optimize their content and outperform competitors.

SEO SERP Tracking

SEO SERP tracking involves monitoring organic rankings for target keywords to evaluate SEO efforts. It highlights areas that need improvement and helps establish a baseline for measuring growth and identifying keyword opportunities.

SERP Tracking Tool

Utilizing the right SERP tracking tool streamlines the process by automating rank checks, aggregating historical data, and generating customized reports. These tools reduce manual workload, save time, and increase accuracy in evaluation.

Keyword SERP Tracking

Keyword SERP tracking zeroes in on individual phrases, allowing marketers to monitor performance across all targeted terms. This lets teams adjust keyword strategies and work on boosting underperforming pages or terms quickly.

Google SERP Tracking

Google SERP tracking focuses specifically on rankings within Google’s search results. Since Google is the dominant search engine, understanding your site’s position here is vital for maximizing organic search traffic.

Best SERP Tracking

Choosing the best SERP tracking solution depends on the business’s size, budget, reporting needs, and technical resources. The best tools offer daily updates, granular filtering, and easy integration with other marketing technologies.

Online SERP Tracking

Online SERP tracking platforms provide real-time access to ranking data from any location. This cloud-based approach ensures stakeholders can review reports and make decisions without waiting for manual updates.

SERP Tracking Keyword Ranking

Monitoring keyword ranking evolution with a SERP tracking solution reveals which strategies yield the best results and which need refinement. Regularly updating these rankings supports continuous SEO improvement.

SERP Tracking Tools

A comparison of various SERP tracking tools reveals differences in accuracy, interface, pricing, and scalability. Exploring multiple options helps determine the right fit for both small businesses and enterprise SEO teams.

What Is SERP Tracking

SERP tracking is the systematic practice of checking and recording a webpage’s position for specific keywords over time. This data illuminates trends, informs optimization efforts, and ultimately helps websites achieve higher visibility and traffic.

The post Using the SERP Tracking Report in SEO appeared first on Primary Position SEO NYC.

What are SERP Ranking Software Apps?

SERP ranking software platforms are specialized SEO (search engine optimization) tools designed to monitor and report a website’s search engine rankings for specific keywords across various search engines and locations. These platforms automatically track keyword positions, visualize ranking trends, and help users analyze the performance of their SEO strategies for both desktop and mobile SERPs.

Typical features include daily or real-time ranking updates, competitor comparison, visual dashboards, customizable reports, alerts for ranking changes, and integrations with analytic and reporting tools. They are used by marketing agencies, SEO professionals, businesses, and consultants to optimize content, gauge visibility, and demonstrate improvements to stakeholders.

Examples of SERP ranking software platforms include SE Ranking, SEMrush, Ahrefs, SERPWatcher, AccuRanker, SERPWoo, Nightwatch, Serpstat, and Pro Rank Tracker. These tools offer varying degrees of local/global tracking, reporting automation, and integration with other marketing and analytics platforms. Pricing typically varies based on the number of keywords tracked, project/website limits, and advanced reporting or agency features.

Major SERP Reporting & Rank Tracking Software

Notes

• Pricing and features change frequently; most platforms have tiered pricing based on tracked keywords, number of users, or available features.

• Several tools offer free trials or limited-feature free plans.

• “All-in-one” suites like SEMrush and Ahrefs include broader digital marketing and analytics tools, not just SERP position tracking.

This summary enables side-by-side evaluation to help select the right SERP monitoring solution based on budget, features needed, and business type.

The post Major SERP Ranking Software Apps of 2025 appeared first on Primary Position SEO NYC.

Welcome! If you’re a law firm or legal professional aiming to stand out online, mastering modern SEO isn’t just about ranking on Google—it’s about gaining trust, attracting clients, and adapting to a search landscape shaped by artificial intelligence. Here’s how to build a winning SEO strategy, inspired by Primary Position’s approach, with actionable tips for both traditional and AI-driven optimization.

Legal SEO Strategy: Building Authority and Local Presence

Law is a competitive arena online. Starting with the basics, your firm should:

• Prioritize local visibility on Google. Claim and optimize your Google My Business profile, focusing on practice areas and location-based searches that potential clients use to find legal help nearby.

• Build topical authority by publishing clusters of content around key legal topics and common questions. Create detailed pages and insightful blog posts answering everything a client may ask—from case types to legal definitions and process nuances.

• Optimize pages for featured snippets and video rankings. By answering commonly asked legal questions in concise, clear formats and supplementing with engaging video content, you’ll increase clicks and show your expertise across more platforms.

• Implement lead tracking and forms on your website, making it easy for visitors to reach out and for you to measure which content attracts real prospects.

• Amplify your credibility by securing quality backlinks from legal directories, local organizations, and industry partners.

AI SEO Strategy: Adapting for the Search of Tomorrow

AI-powered search engines—think ChatGPT, Bing Copilot, or Google’s Search Generative Experience—are changing how people discover information.

• Structure website content so it’s easy for AI to read and condense: use clear headings, direct answers, and logical layouts.

• Optimize for “query drift”—the subtle evolution in the way people phrase legal searches. Regularly update your content to reflect shifting terminology and new laws.

• Build cluster pages and comprehensive resource sections around legal topics, making your website a recognized authority when AI “fan-outs” a user’s query across many sites.

• Creating Topical Authority so your content is more likely to be featured in rich results and quick answers.

• Track not just clicks and conversions, but also your site’s mentions and appearances in AI results and conversational search, expanding beyond standard SEO metrics to stay ahead.

Closing Thoughts

Combining classic SEO fundamentals with a forward-looking AI strategy will help law firms and legal experts build lasting visibility and trust online. With strong local optimization and content designed for human and machine intelligence alike, you’ll set your practice apart in a crowded digital landscape—ready for whatever comes next in search technology.

The post The Primary Position SEO Strategy for Law Firms 101 appeared first on Primary Position SEO NYC.

Understanding AI Visibility is easy when you understand the Query Fan Out

Link Building

The top link building and backlinking guide for SEO

AI and LLM SEO Sub

The best Reddit Sub for AI and LLM SEO

Reddit Resources on X

The r/SEO X Account

Info on How to Hire SEO Experts On Reddit

Red Flags from previous conversations

Some highlights of what people have come to r/SEO with in the past:

• Its been 6 months and I dont know if my SEO is doing anything
• My SEO has access to my sie but hasn’t made any edits
• My traffic hasn’t changed
• I can’t get hold of my SEO

SEO Company doing anything at all??? : r/SEO

how long does it actually take to see results from seo? : r/SEO

How to Determine if a SEO Specialist is Good : r/SEO

How Do I Know if I am Doing OK? : r/SEO

How does a non-expert even determine if their SEO company is being effective? : r/SEO

how long does it actually take to see results from seo? : r/SEO

How soon before I conclude my SEO strategy is under-performing? : r/SEO

The post Top List of SEO Resources from Reddit appeared first on Primary Position SEO NYC.

This has been confirmed by a number of sources, including SearchAPI and also this insightful interview with Elizabeth Reid – Head of Search at Google.

What are AI Search Tools?

AI Search tools are LLM-based tools that give synthesized answers to questions unlike “traditional search engines” which give a list of websites with answer.

What is an LLM?

An LLM, or a Large-Language Model is an advanced form of artificial intelligence (AI) designed to understand, process, and generate human-like text at a massive scale.

Built on sophisticated deep learning techniques, primarily the Transformer architecture, LLMs are trained on enormous datasets of text and code (billions to trillions of words). This extensive training allows them to learn the statistical relationships and complex patterns of language. Fundamentally, an LLM works as a powerful word-prediction engine, generating coherent and contextually relevant responses one token at a time.

LLMs, while also simply called “AI” are not true search engines like Google.

Who is Elizabeth Reid, Google Search?

Eliazbeth – or simply, Liz Reid is the Head of Search at Google, where she has worked for over 20 years, after being promoted from VP of Search. Elizabeth Reid (often referred to as Liz Reid) is the **Vice President and Head of Search** at Google.\

Here’s what we know:

• She leads the Search organization at Google and is focused on reimagining the search experience, particularly by integrating generative AI and features like Lens and multi-search.
• She joined Google in 2003 as the company’s first female engineer in its New York office.
• She was part of the team that built Google Local, which became the foundation for much of the local information within Google Maps.
• She is a passionate advocate of Google’s diversity efforts, serving as co-chair of Women@Google.

Interview with Liz Reid, Head of Search at Google

Stunning insight into the Future of Search with Elizabeth Reid, Google’s Head of Search….. arguably one of the most important roles in the Google organization and probably on the web at the moment. Not only is it a deep and rare glimpse into the inner sanctum of Google Search – its a rare oddity of genuinely honest take-aways about how Google powers AI “search” – showing that LLMs, which wield a lot of power when it comes to editing content – are not search engines and that its not feasible to think that they are. This quickly admonishes the “visionary” marketing narrative painted by GEO and other “AI” enthusiasts…..

Some crucial take aways:

Blue links aren’t going anywhere

LLMs are not displacing Search Engines, they’re relying on them

”And so we don’t view AI as replacing search in the search experience. We view it as augmenting as enabling us to reinvent search.”

https://www.seroundtable.com/liz-reid-google-interview-40198.html

Hat Tip to Gagan Ghotra for sharing this.

The post How do AI search engines, like Perplexity, compare to traditional search engines? appeared first on Primary Position SEO NYC.

Based on a synthesis of recent SEO discussions and Google’s evolving AI search features, the terms you’ve listed represent a modern, sophisticated approach to SEO that goes beyond traditional keyword strategies. These concepts are fundamental for optimizing content for AI-powered search engines.

1. Query Fan-Out (QFO)

Query Fan-Out (QFO) is a strategy that large language models (LLMs) and search systems use to understand complex or multi-part user queries.³ Instead of a single search, the AI breaks down a user’s prompt into several different sub-queries to find the most comprehensive answer.

• Example: For a query like “Find two affordable tickets for this Saturday’s Reds game in the lower level,” a QFO would involve sub-queries for “Reds game tickets Saturday,” “affordable ticket prices,” and “lower level seating” to gather and synthesize a single, detailed answer.

2. Deeper Analysis Terms

This refers to a shift away from simple, single-word keyword targeting towards creating content that addresses complex user intent. Instead of just targeting a “what is” query, AI SEO aims to answer the deeper questions that follow, such as “how to,” “compare,” “evaluate,” “pros and cons,” or “alternatives.”

• Relevance: AI models are designed to understand the nuance of human language.⁵ By structuring content to address these deeper-level queries, you signal to the AI that your content is comprehensive and provides a thorough answer, increasing your chances of being featured in an AI Overview. 

3. Ranking for 3 Queries to Help 1 Prompt

This concept is directly related to QFO and the user’s intent. Instead of optimizing a page for a single keyword, you optimize it to answer the multiple sub-queries that an AI might generate from a single, complex user prompt. For example, a single, comprehensive page might rank for the following queries to collectively answer one prompt:

• “best running shoes for flat feet”
• “cushioning for flat-footed runners”
• “stability shoes for overpronation”

This strategy aligns with how AI models retrieve information, which is often by extracting and synthesizing multiple “chunks” of information from different sources to create one answer.

4. Query Drift

“Query drift” or “term drift” refers to the subtle but significant changes in keyword meaning and user intent over time.⁷ As language evolves and new technologies emerge (like AI), the intent behind a search query can shift.

• Example: The term “cloud” originally referred to weather but now primarily means cloud computing.
• Relevance: AI SEO requires constant monitoring of these shifts. Your strategy must be dynamic and adaptable, using AI tools to track changing trends and updating content to remain relevant to current user intent.

5. Ranking on More Than One Page

This concept is tied to the idea of building topical authority. Rather than creating one page to answer all possible queries on a topic, you create a cluster of pages. You might have a pillar page (a main, broad topic) and multiple supporting pages that address specific sub-topics in detail. This approach helps demonstrate to Google’s algorithms that your website is a comprehensive, authoritative source on the subject.

These strategies collectively form a modern AI SEO approach that focuses on demonstrating expertise, anticipating complex user queries, and structuring content in a way that is easily understood and processed by both human users and advanced AI systems.

The post What elements are foundational for SEO with AI? appeared first on Primary Position SEO NYC.